Required Skills:
· Development, maintenance, and
enhancement of Data Pipelines (ETL/ELT) and processes with thorough knowledge
of star/snowflake schemas
· Hands on experience in
PowerCenter/IDMC/IICS.
· Developing
complex SQL queries and SQL optimization
· Development experience must be full Life Cycle
experience including business requirements gathering, data sourcing,
testing/data reconciliation, and deployment within Business Intelligence/Data
Warehousing Architecture.
· Designing and implementing data security
· Monitoring and optimizing data storage and data
processing
· Delivering Data Solutions using Cloud Technologies
· Advanced SQL skills and experience with relational
databases and database design like Oracle and SQLSERVER.
· Significant experience working with cloud Data
Warehouse and Data Lake solutions (e.g., Snowflake, Redshift, BigQuery, Azure
Data Lake Storage, Amazon S3, etc.)
· Experience working with data ingestion tools such as
Fivetran, stitch, or Matillion.
· Working knowledge of Cloud-based solutions (e.g.,
Azure, AWS and GCP).
· Experience building and deploying machine learning
models in production.
· Strong proficiency in object-oriented languages:
Python, Java, C++, Scala.
· Strong proficiency in scripting languages like Bash.
· Strong proficiency in data pipeline and workflow
management tools (e.g., Airflow, Azkaban).
· Familiarity with big data frameworks such as Apache
Hadoop and Apache Spark
· Strong project management and organizational skills.
· Excellent problem-solving, communication, and
organizational skills.
· Demonstrated leadership experience and skills
· Ability to communicate effectively and influence technical and business
stakeholders at all levels of the organization
Requirements
Experience in Supply Chain and
Manufacturing Domains - understand the data, the use cases, and the
value it drives rather than just the code"
- Procurement
/ Supplier data
- Inventory
and warehouse management data
- Demand
planning and forecasting
- Production
orders, BOMs, routings
- Shop
floor / MES data
- Quality
systems (defects, CAPA, nonconformance)
